transparency - Concepts

Explore concepts tagged with "transparency"

Total concepts: 11

Concepts

Build in Public - Openly sharing your creative process, progress, and challenges as you build products, businesses, or projects.
Open Weights - AI models distributed with their trained parameters publicly available for download and use, without necessarily including the training data or full training code.
AI Transparency - The principle that AI systems should operate in ways that are open, understandable, and inspectable, allowing stakeholders to understand how decisions are made.
Explainable AI - A set of methods and techniques that make AI system outputs understandable and interpretable to humans.
Open Source Transparency - The principle that making source code publicly available creates accountability, trust, and verifiable security through community inspection.
Open Training - Practice of making the entire AI model training process transparent and reproducible, including training data, code, hyperparameters, and methodology.
Skip-Level Meetings - Meetings between senior leaders and employees who don't report directly to them.
Open-Source AI - Artificial intelligence systems released with open access to model weights, training code, data, and documentation, enabling community use, modification, and redistribution.
Informed Consent - The process of obtaining permission from individuals based on clear understanding of what they are agreeing to and its implications.
Building in Public - Sharing your entrepreneurial journey openly - learnings, struggles, milestones, and metrics.
AI Explainability - Methods and techniques for making AI decision-making processes understandable and interpretable by humans.

← Back to all concepts